Vaidehi Wagh
MS Robotics @ Carnegie Mellon University (Graduating May 2026)
Building AI-driven robotic systems for physical AI.
Actively seeking full-time roles in AI, ML, Robotics Software or Forward Deployed Engineering.
Here’s how my skills and experience align with these roles:
🤖 AI Engineer
Focus: Large & small VLMs, LLMs, multimodal systems, and edge AI.
- LLMs & VLMs: supervised fine-tuning, few-shot learning, prompt engineering
- Multimodal pipelines across vision, audio, text, and sensor data: data, training, evaluation, and deployment
- Optimization: quantization, latency, memory constraints
- AI integration with robots, hardware, and system integration
📊 ML Engineer
Focus: Deep learning, machine learning, and production ML systems.
- Deep learning across time-series, sensor, and multimodal datasets
- Temporal modeling (TCNs, sequence models), CNNs, Transformers
- End-to-end systems, dataset creation, training, evaluation, deployment, transfer learning
- CV pipelines: object detection, segmentation, pose estimation, etc.
- Model deployment on edge and production systems
🛠️ Robotics Software Engineer
Focus: Systems integration and embedded robotics.
- End-to-end systems integration across sensing, perception, control, and ML
- Embedded software, microcontrollers, and real-time systems
- CAD, 3D printing, mechanical modeling, and prototyping
- Sensor integration with real-time AI/ML pipelines for robot control